Reconstructing the indirect light field for global illumination
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Durand_Reconstructing the.pdf
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Author(s)
Lehtinen, Jaakko
Aila, Timo
Laine, Samuli
Durand, Fredo
Date Issued
July 2012
Journal
ACM Transactions on Graphics
Publisher
Association for Computing Machinery
Citation
Lehtinen, Jaakko, Timo Aila, Samuli Laine, and Frédo Durand. “Reconstructing the Indirect Light Field for Global Illumination.” ACM Transactions on Graphics 31, no. 4 (July 1, 2012): 1–10.
Version
Author's final manuscript
Abstract
Stochastic techniques for rendering indirect illumination suffer from noise due to the variance in the integrand. In this paper, we describe a general reconstruction technique that exploits anisotropy in the light field and permits efficient reuse of input samples between pixels or world-space locations, multiplying the effective sampling rate by a large factor. Our technique introduces visibility-aware anisotropic reconstruction to indirect illumination, ambient occlusion and glossy reflections. It operates on point samples without knowledge of the scene, and can thus be seen as an advanced image filter. Our results show dramatic improvement in image quality while using very sparse input samplings.
MIT Department
Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike
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DOI of Published Version
https://doi.org/10.1145/2185520.2185547
